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longitudinal data

145 papers and 3 presentations; 136 titles.

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Conference × Year × Title × Authors Extras Pages
PharmaSUG CN 2026 Handling Missing Data in Analgesia Clinical Trials and Corresponding SAS Implementation Jingbo Zhu,
Jiehan Zhang		 source 17
PHUSE EU 2024 Streamlining Complex Analysis: An SAS Macro for Marginal Structural Modelling Amine Khemiri source
presentation source		 6
PharmaSUG 2024 Comparison of Techniques in Merging Longitudinal Datasets with Errors on Date Variable: Fuzzy Matching versus Clustering Analysis Huitong Niu,
Yan Wang		 source 11
SESUG 2023 Longitudinal Analysis of Marital Therapy's Impact on Intimacy in Heterosexual Couples Yaa Awuah,
Mostafa Zahed		 source 19
PharmaSUG 2023 Application of Tipping Point Analysis in Clinical Trials using the Multiple Imputation Procedure in SAS Yunxia Sui,
Xianwei Bu,
Yuanyuan Duan,
Yihan Li,
Xin Wang		 source 12
PHUSE US 2021 Challenges and Solutions in SDTM Implementation and Programming of the Ophthalmic Examinations (OE) Domain [presentation] Shivam Kumar,
Vinita Dora		 source
video		 16
PharmaSUG 2021 A Sassy Substitute to Represent the Longitudinal Data - The Lasagna Plot Soujanya Konda source 13
SGF 2020 Estimating Unknown Change Points and Variation Using SAS Depeng Jiang,
Lin Yan,
Zhongyuan Zhang,
Shaoping Jiang		 source 14
SGF 2020 Mixed-Effects Models and Complex Survey Data with the GLIMMIX Procedure L. Grisell Diaz-Ramirez,
Bocheng Jing		 source 10
SGF 2020 Modeling of Between - and Within-Subject Variances using Mixed Effects Location Scale (MELS) Models Qianheng Ma,
Donald Hedeker		 source 14
SGF 2020 Show Me the Money! Preparing Economics Students for Data Science Careers Steven C. Myers source 19
SESUG 2019 ePRO: A View from Statistical Programmer Vijetha Kode,
Saigovind Chenna		 source 18
SGF 2019 Introduction to Nonlinear Mixed-Effects Models of Longitudinal Data Shelley A. Blozis source 6
PHUSE EU 2018 The Lasagna Plot Soujanya Konda source
presentation source		 8
SESUG 2018 Predictive Modeling for Healthcare Professionals: The use of time-series analysis for health-related data and the application of ARIMA modeling techniques in SAS for Public Health Practice Camillia R. Comeaux source 6
MWSUG 2018 Bootstrap Linear Mixed-Effects Models using SAS Procedures Adams Kusi Appiah 17
MWSUG 2018 Tips, Tricks, and Traps on Longitudinal Data Analysis with Discrete and Continuous Times Brandy R. Sinco,
Edith Kieffer,
Michael S. Spencer,
Gray Ficker,
Gretchen Piatt		 20
WUSS 2018 A latent variable location scale model for intensive longitudinal data Shelley A. Blozis source 3
WUSS 2018 Better than Average: Calculating Geometric Means Using SAS Kim Roenfeldt source 9
WUSS 2018 Modeling Heterogeneous Within-Subject Variability Madeline Craft,
Shelley A. Blozis		 source 8
WUSS 2018 When the Mean Isn't Enough: Methods for Assessing Individual Differences using SAS Melissa McTernan source 8
SGF 2018 Estimation of Correlation Coefficient in Data with Repeated Measures Katherine Irimata,
Paul Wakim,
Xiaobai Li		 source 19
SGF 2018 Using SAS for Multiple Imputation and Analysis of Longitudinal Data Patricia A. Berglund source 24
SGF 2018 Using SAS to Estimate Lagged Coefficients with the %partitionedGMM Macro Kyle Irimata,
Jeffrey Wilson		 source 8
PHUSE EU 2017 Health Technology Assessment PRO Least Squares Mean Difference Programming Techniques Using SAS Yirong Cao,
Siory Traoré		 source
presentation source		 11
PHUSE EU 2017 How to Fit Longitudinal Data with Proc MCMC Maud Henion source
presentation source		 16
WUSS 2017 Modeling Longitudinal and Multilevel Data in SAS Niloofar Ramezani source 8
SGF 2017 Analyzing Correlated Data in SAS Niloofar Ramezani source 13
SGF 2017 GMM Logistic Regression with Time-Dependent Covariates and Feedback Processes in SAS Jeffrey Wilson source 7
SESUG 2016 A Short Introduction to Longitudinal and Repeated Measures Data Analyses Leanne Goldstein source 19
SESUG 2016 Using PROC EXPAND to Easily Manipulate Longitudinal and Panel Data Matthew J. Hoolsema,
Carnegie Mellon		 source 6
WUSS 2016 Handling longitudinal data from multiple sources: experience with analyzing kidney disease patients Elani Streja,
UC Irvine,
Melissa Soohoo		 source 6
WUSS 2016 How to analyze correlated and longitudinal data? Niloofar Ramezani source 8
SGF 2016 A Short Introduction to Longitudinal and Repeated Measures Data Analyses Leanne Goldstein source 19
SGF 2016 Analyzing Non-Normal Binomial and Categorical Response Variables under Varying Data Conditions Niloofar Ramezani source 16
SGF 2016 SAS Macro for Generalized Method of Moments Estimation for Longitudinal Data with Time-Dependent Covariates Katherine Cai,
Jeffrey Wilson		 source 9
SESUG 2015 An Intermediate Guide to Estimating Multilevel Models for Categorical Data using SAS PROC GLIMMIX Whitney Smiley,
Elizabeth A. Leighton,
Zhaoxia Guo,
Mihaela Ene,
Bethany A. Bell		 source 16
WUSS 2015 A Short Introduction to Longitudinal and Repeated Measures Data Analyses Leanne Goldstein source 19
WUSS 2015 Pattern-Mixture Random-Effects Models for Non-Ignorable Missing Data in Longitudinal Studies Shelley A. Blozis,
Ricardo Villarreal		 source 3
PharmaSUG CN 2015 SAS Longitudinal Data Techniques - From Change from Baseline to Change from Previous Visits Chao Wang 5
PharmaSUG 2015 Medication Adherence in Cardiovascular Disease: Generalized Estimating Equations in SAS Erica Goodrich,
Daniel Sturgeon		 source 8
SGF 2015 How to Use SAS for GMM Logistic Regression Models for Longitudinal Data with Time-Dependent Covariates Katherine Cai source 8
SGF 2015 The %ic_mixed Macro: A SAS Macro to Produce Sorted Information Criteria (AIC and BIC) List for PROC MIXED for Model Selection Qinlei Huang source 16
SGF 2015 Using the GLIMMIX and GENMOD Procedures to Analyze Longitudinal Data from a Department of Veterans Affairs Multisite Randomized Controlled Trial Abbas S. Tavakoli,
Marlene Al-Barwani,
Sue Levkoff,
Selina McKinney,
Nikki R. Wooten		 source 11
MWSUG 2014 Understanding Change through Different Methodological Lens Jie Liao 12
MWSUG 2014 Understanding How the DATA Step Works Arthur X. Li 13
PharmaSUG 2014 A Parameterized SAS Macro to Select an Appropriate Covariance Structure in Repeated Measures Data Analysis Using PROC MIXED Leela Aertker,
Paul Nguyen,
Charity Quick		 source 3
PharmaSUG 2014 Survival Analysis Approaches and New Developments using SAS Jane Lu,
David Shen		 source 13
SGF 2014 A SAS Macro to Diagnose Influential Subjects in Longitudinal Studies Grant Schneider,
Randy Tobias		 source
zip		 18
WUSS 2013 User-Specified Likelihood Expressions Using NLMIXED and the GENERAL Statement Melissa McTernan,
Shelley A. Blozis		 source 4
SCSUG 2013 A Dose of SAS to Brighten Your Health Care Blues Gabriela Cantu,
Christopher Klekar		 source 14
SESUG 2013 Imputing Dose Levels for Adverse Events John R. Gerlach,
Igor Kolodezh		 source 8
PHUSE EU 2013 Utilising Data Warehousing to Validate Clinical Trial Projects and to Select and Recruit Patients [presentation] Tim Armitage source 39
PharmaSUG 2013 Essentials of PDV: Directing the Aim to Understanding the DATA Step! Arthur X. Li source 12
PharmaSUG 2013 Imputing Dose Levels for Adverse Events John R. Gerlach,
Igor Kolodezh		 source 8
SGF 2013 10 SAS Skills for Grad Student Survival: A Grad Student ?How-To? Paper View Paper View Poster Elisa L. Priest source
pdf		 15
SGF 2013 Essentials of the Program Data Vector (PDV): Directing the Aim to Understanding the DATA Step Arthur X. Li source 12
SGF 2013 Modeling Change over Time: A SAS Macro for Latent Growth Curve Modeling Pei-Chin Lu,
Robert Pearson		 source 12
MWSUG 2012 Survival of the Milkman - How Modern Analytics is Helping an Old Fashioned Business Thrive Bruce Bedford 13
WUSS 2012 Comparison of Implementation of A Bayesian Approach to Nonlinear Mixed Effects Modelin SAS and WinBUGS Hui Wang source 4
WUSS 2012 Sensitivity analysis of nonlinear mixed-effects models for longitudinal data that areincomplete Shelley A. Blozis source 6
SGF 2012 Handling Missing Data by Maximum Likelihood Paul D. Allison source 21
SCSUG 2011 Intro to Longitudinal Data: A Grad Student "How-To" Paper Elisa L. Priest source 14
WUSS 2011 Using PROC SQL to Calculate FIRSTOBS David Tabano source 11
MWSUG 2011 Area under a Curve: Calculation and Visualization Patricia M. Herbers,
Deborah A. Elder,
Jessica G. Woo		 12
PharmaSUG 2011 Implementation of Pairwise Fitting Technique for Analyzing Multivariate Longitudinal Data in SAS Madan G. Kundu source 12
PharmaSUG 2011 Using SAS for Modeling and Simulation in Drug Development - A Review and Assessment of Some Available Tools Melvin S. Munsaka,
Michael Carniello		 source 10
SGF 2011 Longitudinal Data Techniques: Looking Across Observations Ronald P. Cody source 7
NESUG 2010 Educational Outcome Analysis Using Maine's Wage Record Matching System Bruce H. Peel 10
WUSS 2010 Longitudinal Data Techniques: Looking Across Observations Ronald P. Cody source 7
WUSS 2010 Mix-and-Match: Mixed Models for Analyzing Binary Outcomes with Matched Samples Sarah Short source 9
SGF 2010 A Grad Student 'How-To' Paper on Grant Preparation: Preliminary Data, Power Analysis, and Presentation Elisa L. Priest,
Derek Blankenship		 source 14
SGF 2010 Building Latent Growth Models Using PROC CALIS: A Structural Equation Modeling Approach Teck Kiang Tan,
Trivina Kang,
David Hogan		 source 19
SCSUG 2009 Working with Longitudinal Data Ronald P. Cody 4
SESUG 2009 A User-Friendly Macro for Last Observation Carried Forward Tse-Hua J. Shih source 6
MWSUG 2009 Mixed Model Selection George C. J. Fernandez 19
PharmaSUG 2009 Modeling the Treatment Effect on a Median of a Percent Change from Baseline in a Log-normal Variable Using SAS PROC NLMIXED Aiming Yang 5
SGF 2009 %QLS SAS Macro: A SAS Macro for Analysis of Longitudinal Data Using Quasi-Least Squares Hanjoo Kim,
Justine Shults		 source 12
SGF 2009 Using GEE to Model Student's Satisfaction: A SAS Macro Approach Teck Kiang Tan,
Trivina Kang,
David Hogan		 source 12
WUSS 2008 Working with Longitudinal Data Orla Hayden source 3
NESUG 2007 Before and After: Critical Event Analysis with Longitudinal Data Using SAS Robert Bauserman,
Douglas Thompson		 12
NESUG 2007 Using Macro and ODS to Overcome Limitations of SAS Procedures Wei (Lisa) Lin,
Jing Su		 7
SESUG 2007 Data Management Strategies Abbas S. Tavakoli source 11
SCSUG 2007 Individual Growth Analysis Using PROC MIXED Maribeth H. Johnson 10
PharmaSUG 2007 Effects of Multicollinearity in All Possible Mixed Model Selection George C. J. Fernandez 18
SGF 2007 Graphing Longitudinal Data: Deaf Children in the "Children of the National Longitudinal Survey of Youth" Paul Dirmyer,
Richard Schley,
Sara Martino		 source 10
SGF 2007 Model Selection in PROC MIXED-A User-Friendly SAS Macro Application George C. J. Fernandez source 20
SGF 2007 Regression Splines with Longitudinal DATA Chan-Hee Gossett,
Jeff M. Simpson,
Pippa M. Jo		 source 6
SGF 2007 Using SAS to Process Repeated Measures Data - A Hands-On Approach Terry Gareleck,
Cyndie B. Fain		 source 12
SESUG 2006 Individual Growth Analysis Using PROC MIXED Individual Growth source 10
SESUG 2006 SYMPLIFY Your Data Set Transposition with SYMPUT and Make It Data-Driven Too! Christianna S. Williams source 5
PharmaSUG 2006 Analyzing Ordinal Repeated Measures Data Using SAS Bin Yang 8
SUGI 2006 %hlmdata and %hlmrmpower: Traditional Repeated Measures vs. HLM for Multilevel Longitudinal Data Analysis?Power and Type I Error Rate Comparison Hua Fang source 11
SUGI 2006 Analyzing Multivariate Longitudinal Data Using SAS Feng Gao,
Chengjie Xiong,
Paul A. Thompson,
J. Philip Miller		 source 9
SUGI 2006 Characterizing Patterns of Longitudinal Data Completeness through Successive Refinement Lawrence Rasouliyan,
David J. Pasta		 source 6
SUGI 2006 Using SAS to Process Repeated Measures Data Terry Fain,
Cyndie B. Gareleck		 source 11
SESUG 2005 Using SAS to Process Repeated Measures Data Terry Fain source 10
WUSS 2005 Characterizing Patterns of Longitudinal Data Completeness through Successive Refinement Lawrence Rasouliyan,
David J. Pasta		 source 6
WUSS 2005 Using Proc Mixed to Model Daytime Log-Cortisol Slopes Eric Neri,
Helena Chmura Kraemer,
Arthur M. Noda,
Yung Wang		 source 4
SUGI 2005 Using SAS to Process Repeated Measures Data Terry Fain,
Cyndie B. Gareleck		 source 10
SESUG 2004 1 Matching SAS Data Sets: If at First You Don't Succeed, Match, Match Again Imelda C. Go source 10
SESUG 2004 Quick and Easy Visualization of Longitudinal data with the WEBFRAME graphics device Kevin Payton Delaney source 12
WUSS 2004 PROC GENMOD for Analysis of Correlated Outcome Data Using the LOGIT Link Function Tyler C. Smith,
Besa Smith,
William Honner,
Ming Ji		 source 14
PharmaSUG 2004 Incremental Methods of Imputation for Longitudinal Data with Informative Missingness Naum M. Khutoryansky 4
PharmaSUG 2004 Making Model Selection in Linear Mixed-Effects Models An Easy Process: A SAS Macro Procedure Henry Cheng,
Yuli Xie,
Elizabeth Reinbolt		 4
PharmaSUG 2004 Traditional Repeated Measures Analysis Versus Random Coefficients Models Using PROC MIXED Radhi Abdulnabi 9
SUGI 2004 Linking Unlinked Data: PROCs SQL and SORT Can Do It Merle E. Hamburger,
Thomas Sukalac		 source 5
SUGI 2004 Repeated Measures Modeling with PROC MIXED E. Barry Moser source 20
PharmaSUG 2003 A SAS Macro to Automate The Covariance Structure Determination in Repeated Measures Data Analysis with Mixed Procedure Don (Dongguang) Li 4
PharmaSUG 2003 Parameter estimation for incomplete bivariate longitudinal data in clinical trials Naum M. Khutoryansky 6
PharmaSUG 2003 Using Model Fitting Information and PROC PLOT to Select the Type of Variance-Covariance Structure for Repeated Measures Radhi Abdulnabi 8
SUGI 2003 Identifying Continuity in Longitudinal Data Merle E. Hamburger,
Thomas Sukalac		 source 2
MWSUG 2002 Using Model Fitting Information and PROC PLOT to Select the Type of Varianc-Covariance Structur Radhi Abdulnabi 7
NESUG 2002 Longitudinal Data Techniques: Looking Across Observations Ronald P. Cody 6
NESUG 2002 SAS Techniques for Incorporating Medical Code Updates into Longitudinal Health Care Data Perry Watts,
Alan C. Wilson		 10
PharmaSUG 2002 Imputation of Longitudinal Incomplete Data in Clinical Trials Naum M. Khutoryansky 4
SUGI 2002 A Macro for Examining the Consequences of Error Structure Misspecifications John M. Ferron,
Kristine Y. Hogarty,
Melinda Hess,
Jeanine L. Romano		 source 6
SUGI 2002 Individual Growth Analysis Using PROC MIXED Maribeth H. Johnson source 7
SUGI 2002 Longitudinal Data Techniques: Looking Across Observations Ronald P. Cody source 4
MWSUG 2001 Using The SAS Mixed Procedure to Analyze the Repeated Measures Data Hongsen Zhou 9
SESUG 2001 Individual Growth Analysis Using PROC MIXED Maribeth H. Johnson source 7
SCSUG 2001 Individual Growth Analysis Using PROC MIXED Maribeth H. Johnson 7
PharmaSUG 2001 Imputation Techniques Using SAS Software For Incomplete Data In Diabetes Clinical Trials Naum M. Khutoryansky,
Won-Chin Huang		 4
SCSUG 2000 Repeated-Measures Analysis and PROC MIXED Shana Smith,
Torsten B. Neilands		 17
NESUG 2000 Longitudinal Data Techniques: Looking Across Observations Ronald P. Cody 6
SEUGI 2000 SAS Software for the Analysis of Epidemiologic Data [presentation] Hans-Peter Altenburg source 39
SCSUG 1999 Longitudinal Data Techniques Ronald P. Cody 6
WUSS 1999 Quantifying Regression to the Mean Using PROC MIXED Thaddeus J. Haight,
Long Ngo,
Ira Tager		 source 6
NESUG 1999 Longitudinal Data Techniques: Looking Across Observations Ronald P. Cody 6
NESUG 1999 Using Format Concatenation in SAS Software to Decode Data in Longitudinal Studies Perry Watts 7
SEUGI 1998 GLM and MIXED procedures to treat longitudinal data Sandrine Laguerre source 9
SUGI 1998 SAS Macro to Determine Rates of Change in Markers of HIV-1 Disease Progression Baibai Chen,
Cynthia A. Kleeberger		 source 5
SESUG 1997 Analysis of Repeated Measures and Longitudinal Data Jane Pendergast 8
SUGI 1997 Creation of an Educational Statistics Database at the University of Arkansas Sean W. Mulvenon,
Antoinette Thorn,
Charles Aldrich		 source 3
SUGI 1997 Model Selection in Linear Mixed Effects Models Using SAS PROC MIXED Long Ngo,
Richard Brand		 source 6
WUSS 1996 Repeated Measures Analysis with the SAS System Kathleen Kierman source 10
MWSUG 1995 Discussion of the Comparison of GLM and MIXED Procedures for a Repeated Measures Design: One Within and One Between Subjects Factor Michelle Secic 6
SUGI 1995 Conducting Linear Growth Curve Analysis with the SAS System Laura Ichikawa,
William E. Barlow		 source 6
MWSUG 1993 Analysis of Incomplete Categorical Repeated Measures Charles S. Davis 6
SEUGI 1993 A New Look at the Facilities in PROC MIXED James L. Roger source 12
SEUGI 1993 The Analysis of Repeated Measures Designs Using the SAS System Alun Bedding source 9
SUGI 1992 Analysis of Incomplete Categorical Repeated Measures Charles S. Davis source 6
SUGI 1992 Using the GLM Procedure to Analyze Multivariate Response in Crossover Designs Julie Myers Grender,
William D. Johnson		 source 6
MWSUG 1991 Monte Carlo Analysis of Change Scores David J. Mangen 6
SUGI 1988 Logit Models for Ordered Categorical Response Data Alan Agresti source 9
SUGI 1986 A Generalized Growth Curve Procedure for the Analysis of Incomplete Longitudinal Data Kenneth O. Story,
Edward F. Vonesh		 source 6
SUGI 1986 A Macro for Conditional Ordinary Least Squares and Weighted Least Squares Analysis of Repeated Measures Data Margaret Burchinal source 6
SUGI 1982 SAS MACRO "REP2 "for Unweighted Means Analysis of Repeated Measures Robert V. Zupkis source 8

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